The transformational role of GPU computing and deep learning in drug discovery

M Pandey, M Fernandez, F Gentile, O Isayev… - Nature Machine …, 2022 - nature.com
Deep learning has disrupted nearly every field of research, including those of direct
importance to drug discovery, such as medicinal chemistry and pharmacology. This …

Bio-inspired optimization for the molecular docking problem: state of the art, recent results and perspectives

MJ García-Godoy, E López-Camacho… - Applied Soft …, 2019 - Elsevier
Molecular docking is a Bioinformatics method based on predicting the position and
orientation of a small molecule or ligand when it is bound to a target macromolecule. This …

On the role of metaheuristic optimization in bioinformatics

L Calvet, S Benito, AA Juan… - … in Operational Research, 2023 - Wiley Online Library
Metaheuristic algorithms are employed to solve complex and large‐scale optimization
problems in many different fields, from transportation and smart cities to finance. This paper …

GPU-accelerated flexible molecular docking

M Fan, J Wang, H Jiang, Y Feng… - The Journal of …, 2021 - ACS Publications
Virtual screening is a key enabler of computational drug discovery and requires accurate
and efficient structure-based molecular docking. In this work, we develop algorithms and …

Exploiting Heterogeneous Parallelism on Hybrid Metaheuristics for Vector Autoregression Models

J Cuenca, JM Cutillas-Lozano, D Giménez… - Electronics, 2020 - mdpi.com
In the last years, the huge amount of data available in many disciplines makes the
mathematical modeling, and, more concretely, econometric models, a very important …

[引用][C] Heterogeneous and unconventional cluster architectures and applications

H Fröning, F Silla - Concurrency and Computation: Practice …, 2018 - Wiley Online Library
Recent trends in cluster computing and related topics, including processor and memory
design, demonstrate a continuous growing need for more processing and memory, both in …